G. Elliott Wimmer

Max Planck UCL Centre for Computational Psychiatry and Ageing

Wellcome Centre for Human Neuroimaging

10-12 Russell Square

London, WC1B 5EH

e.wimmer (at) ucl.ac.uk


CV (pdf - with links to full-text of papers)



Positions and degrees

Research Associate, 2017-present, Max Planck UCL Centre for Computational Psychiatry and Ageing, University College London

Post-doctoral researcher, 2016-2017, Department of Psychology, Stanford University

Post-doctoral researcher, 2013-2015, Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf

Ph.D., 2012, Psychology, Columbia University

B.A., 2005, Cognitive Science, University of California, Berkeley

News

    • With Yunzhe Liu at the Max Planck UCL Centre, we have a new paper connecting replay (sequenceness) to behavior in humans (Nature Neuroscience, 2020). We find the successful memory decisions are associated with rapid compressed replay of original experiences.
    • From my work with Christian Büchel, we recently published a paper on the role of the OFC in learning predictions of distant states in Nature Communications (2019).
    • From my work with Russ Poldrack funded by the DFG, we published a paper on the effects of temporal spacing on reward learning in the Journal of Neuroscience. We find that "spaced" training establishes longer-lasting value associations, while typical "massed" single-session learning is related to working memory capacity, plus some interesting hippocampal multivariate effects.


Research


Recent publications

Wimmer, G.E., Liu, Y., Vehar, N., Behrens, T.E.J., Dolan, R.J. (2020). Episodic memory retrieval success is associated with rapid replay of episode content. Nature Neuroscience.

Wimmer, G.E., Büchel, C. (2019). Learning of distant state predictions by the orbitofrontal cortex in humans. Nature Communications, 10:2554.

Braun, E.K., Wimmer, G.E., Shohamy, D. (2018). Retroactive and graded enhancement of memory by reward. Nature Communications, 9:4886.

Wimmer, G.E., Li, J.K., Gorgolewski, K.J., Poldrack, R.A. (2018). Reward learning over weeks versus minutes increases the neural representation of value in the human brain. Journal of Neuroscience, 38(35): 7649-7666.

Wimmer, G.E., Büchel, C. (2016). Reactivation of reward-related patterns from single past episodes supports memory-based decision making. Journal of Neuroscience, 36(10): 2868-2880.


Shard data and resources


Open Science Framework

OpenNeuro

NeuroVault

GitHub

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